Additional file 1 of iPiDA-LGE: a local and global graph ensemble learning framework for identifying piRNA-disease associations

Additional file 1. Supplementary information. The performance comparison of different methods across metrics using leave-one-disease-out cross-validation is listed in Table S1. The comparison of different methods across four metrics using leave-one-disease-out cross-validation is shown in Fig. S1. The performance metrics obtained by iPiDA-LGE for other two bio-entity association prediction tasks is listed in Table S2. The top ten miRNAs associated with different diseases predicted by iPiDA-LGE is listed in Table S3. The top five circRNA associated with different diseases predicted by iPiDA-LGE is listed in Table S4.